Image Processing in Physics Experiments using MATLAB/Python – Training Services

Image Processing in Physics Experiments using MATLAB/Python – Training Services provides practical training on analyzing and interpreting experimental images using computational tools. The course covers techniques such as filtering, edge detection, segmentation, morphological operations, and feature extraction, implemented in MATLAB and Python. Participants will learn to process images from optical, electron, and microscopy experiments, as well as from astrophysical and fluid dynamics studies. Emphasis is placed on quantitative analysis, noise reduction, and visualization of processed data for accurate experimental interpretation. Case studies demonstrate applications in material characterization, particle tracking, interferometry, and spectroscopy imaging. Hands-on sessions provide experience in coding, applying algorithms, and visualizing results. By the end, participants will be proficient in using image processing techniques to enhance and analyze experimental physics data.